Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Navigating Prompt Complexity for Zero-Shot Classification: A Study of Large Language Models in Computational Social Science
As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2305.14310.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-08T16:55:45.518162Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-07T14:17:44.446354Z
Reference resolution
0 of 0 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
No outbound reference observations are available for this paper version.
Pith citing papers
Observation 4639ae2e-21b8-4fb9-ab6f-ff2898196f44 · inbound
Benchmarking Prompt Sensitivity in Large Language Models cites this paper.
Benchmarking Prompt Sensitivity in Large Language Models Navigating Prompt Complexity for Zero-Shot Classification: A Study of Large Language Models in Computational Social Science
Reference 29
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T16:55:45.518162Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b3e9d090-5571-4ca6-a926-1e11cb365f27 · inbound
Recalibrating the Compass: Integrating Large Language Models into Classical Research Methods cites this paper.
Recalibrating the Compass: Integrating Large Language Models into Classical Research Methods Navigating Prompt Complexity for Zero-Shot Classification: A Study of Large Language Models in Computational Social Science
Reference 10
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-08-07T14:17:44.521069Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation d16cf7ee-fa0a-49c2-b05f-6864778e86d4 · inbound
From scratch to silver: Creating trustworthy training data for patent-SDG classification using Large Language Models cites this paper.
From scratch to silver: Creating trustworthy training data for patent-SDG classification using Large Language Models Navigating Prompt Complexity for Zero-Shot Classification: A Study of Large Language Models in Computational Social Science
Reference 79
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T19:27:04.863591Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.